Oppenheimer Core Bd Fund Market Value
OPBIX Fund | USD 5.67 0.01 0.18% |
Symbol | Oppenheimer |
Oppenheimer Core 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Oppenheimer Core's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Oppenheimer Core.
05/31/2024 |
| 11/27/2024 |
If you would invest 0.00 in Oppenheimer Core on May 31, 2024 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Core Bd or generate 0.0% return on investment in Oppenheimer Core over 180 days. Oppenheimer Core is related to or competes with Oppenheimer Main, Oppenheimer Intl, Oppenheimer Main, Oppenheimer Global, Oppenheimer Strat, Oppenheimer Strategic, and Oppenheimer Intl. Under normal market conditions, the fund invests at least 80 percent of its net assets, plus borrowings for investment p... More
Oppenheimer Core Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Oppenheimer Core's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Oppenheimer Core Bd upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.44) | |||
Maximum Drawdown | 1.24 | |||
Value At Risk | (0.53) | |||
Potential Upside | 0.5263 |
Oppenheimer Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Core's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Core historical prices to predict the future Oppenheimer Core's volatility.Risk Adjusted Performance | (0.04) | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.07) | |||
Treynor Ratio | (0.31) |
Oppenheimer Core Backtested Returns
Oppenheimer Core maintains Sharpe Ratio (i.e., Efficiency) of -0.0327, which implies the entity had a -0.0327% return per unit of risk over the last 3 months. Oppenheimer Core exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oppenheimer Core's Variance of 0.1015, coefficient of variation of (2,488), and Risk Adjusted Performance of (0.04) to confirm the risk estimate we provide. The fund holds a Beta of 0.0744, which implies not very significant fluctuations relative to the market. As returns on the market increase, Oppenheimer Core's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenheimer Core is expected to be smaller as well.
Auto-correlation | -0.82 |
Excellent reverse predictability
Oppenheimer Core Bd has excellent reverse predictability. Overlapping area represents the amount of predictability between Oppenheimer Core time series from 31st of May 2024 to 29th of August 2024 and 29th of August 2024 to 27th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Oppenheimer Core price movement. The serial correlation of -0.82 indicates that around 82.0% of current Oppenheimer Core price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.82 | |
Spearman Rank Test | -0.81 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Oppenheimer Core lagged returns against current returns
Autocorrelation, which is Oppenheimer Core mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Oppenheimer Core's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Core returns to help us make a trade decision. For example, suppose you find that Oppenheimer Core has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Oppenheimer Core regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Oppenheimer Core mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Core mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oppenheimer Core mutual fund over time.
Current vs Lagged Prices |
Timeline |
Oppenheimer Core Lagged Returns
When evaluating Oppenheimer Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Core mutual fund have on its future price. Oppenheimer Core autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Oppenheimer Core autocorrelation shows the relationship between Oppenheimer Core mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Core Bd.
Regressed Prices |
Timeline |
Also Currently Popular
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Oppenheimer Core financial ratios help investors to determine whether Oppenheimer Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Oppenheimer with respect to the benefits of owning Oppenheimer Core security.
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